搜索资源列表
libsvm_java
- 模式分类经典算法——支持向量机 java语言版-classic pattern classification algorithm -- Support Vector Machine language version of java
code
- 关于支持向量机的源代码 包括算法和说明，是我从一个网站载入的，不错
svm_smo
- 支持向量机分类算法，将高斯函数与序列最小优化算法结合实现。-support vector machine smo
gridtc
- matlab实现用网格算法优化支持向量机中的相关参数 简单易用-matlab mesh optimization algorithm implemented by the support vector machine parameters in a simple to use
vetor-machine-of-linear-decline
- 在WINDOWS 环境下的支持向量机的算法，是关于线性下降粒子群的，比较有用-algorithms and instrutions for vector machine for linear decline
svr1
- 支持向量回归算法代码实现，可用来做预测、数据拟合、回归等用途，文件齐全-surppot vector regression algorithm ，could used to data forecast and data mining powerful and useful
OnlineSVR-CPP-Code
- 支持向量机在线学习训练算法C++源码，可以用来做数据分类、模式识别、回归估计、概率密度函数估计等方面。-Support vector machine online learning training algorithm C++ source code, can be used for data classification, pattern recognition, regression estimation, probability density function estimation an
pls-svm
- 最小二乘结合支持向量机算法详细讲解，深入了解两算法的结合 -Least squares support vector machine algorithm combined with detailed explanations, in-depth understanding of the combination of two algorithms
libsvm
- 支持向量机程序，用VC++程序实现SVM算法-Support vector machine procedures, with VC++ program SVM algorithm
4editioncode
- 非线性系统第四版书中代码。混沌,分形,元胞自动机,遗传算法,基因表达式编程,支持向量机,小波,隐马尔可夫模型,模糊逻辑与C++、JAVA和SymbolicC++程序》-The fourth edition of the book code for nonlinear systems
CPPAlgorithm-Design
- 大部分科研领域的模式识别算法都是在MATLAB中实现，此处提供了个别模式识别算法的C++语言实现，如支持向量机，遗传算法等。-Most of the field of pattern recognition algorithm was implemented in MATLAB, individual pattern recognition algorithm is provided here of the C++ language, such as support vector machine
Svm.tar
- 遗传算法优化支持向量机，并计算AUC值,计算准确率-Genetic algorithm optimization support vector machine, and calculate AUC value
hiejai
- 对于初学matlab的同学会有帮助，空间目标识别，采用PM算法，matlab开发工具箱中的支持向量机。- Matlab for beginner students will help, Space target recognition algorithm using PM, matlab development toolbox support vector machine.
fiuqie_v12
- matlab开发工具箱中的支持向量机，最小均方误差（MMSE）的算法，外文资料里面的源代码。- matlab development toolbox support vector machine, Minimum mean square error (MMSE) algorithm, Foreign materials inside the source code.
baipiu_v25
- matlab开发工具箱中的支持向量机，用于时频分析算法，AHP层次分析法计算判断矩阵的最大特征值。- matlab development toolbox support vector machine, For time-fre
feisai_v56
- music高阶谱分析算法，matlab开发工具箱中的支持向量机，gmcalab 快速广义的形态分量分析。- music higher order spectral analysis algorithm, matlab development toolbox support vector machine, gmcalab fast generalized form component analysis.
biemei
- 在MATLAB中求图像纹理特征，包含位置式PID算法、积分分离式PID，matlab开发工具箱中的支持向量机。- In the MATLAB image texture feature, It contains positional PID algorithm, integral separate PID, matlab development toolbox support vector machine.
panying
- AHP层次分析法计算判断矩阵的最大特征值,matlab开发工具箱中的支持向量机，ICA（主分量分析）算法和程序。- Calculate the maximum eigenvalue judgment matrix of AHP, matlab development toolbox support vector machine, ICA (Principal Component Analysis) algorithm and procedures.
benleng
- matlab开发工具箱中的支持向量机，仿真效果非常好，独立成分分析算法降低原始数据噪声。- matlab development toolbox support vector machine, Simulation of the effect is very good, Independent component analysis algorithm reduces the raw data noise.
支持向量机（Support Vector Machine, SVM）
- 支持向量机（support vector machine，SVM）是由Cortes和Vapnik在1995年提出的，由于其在文本分类和高维数据中强大的性能，很快就成为机器学习的主流技术，并直接掀起了“统计学习”在2000年前后的高潮，是迄今为止使用的最广的学习算法。(Support vector machine (support vector machine, SVM) is proposed by Cortes and Vapnik in 1995, because of its powerf